Charting the Complexities of Glycometabolomics with Glycoinformatics Precision!

Glycometabolomics is a crucial field within metabolomics that aims to understand how glycans are metabolized by analyzing the makeup, arrangement, and measurement of glycans in biological samples. It can be utilized to identify biomarkers and investigate the role of glycan in different processes. CD BioGlyco is committed to providing clients with a best-in-class Glycoinformatics-assisted Glycomics Analysis Service, which includes Glycoproteomics Analysis, Glycogenomics Analysis, Glycolipidomics Analysis, and glycometabolomics analysis. Our glycoinformatics-assisted glycometabolomics analysis services encompass but are not limited to the following.

Computational chemistry methods and software tools help glycan metabolite analysis

Glycan metabolite analysis is a central part of metabolomics analysis. We start by utilizing computational chemistry methods and software tools to make predictions about the structures of glycan metabolite. These tools are capable of inferring potential glycan structures based on molecular structure and chemical bonding characteristics. Following this, we conduct glycan structure analysis by using commonly employed techniques such as mass spectrometry (MS), nuclear magnetic resonance (NMR), and chromatography to identify the structures of different glycoconjugates present in the sample and compare them with the predicted structures.

Reveal the structure and function of glycometabolic pathways

Our specialists utilize glycoinformatics software to examine the roles and connections of specific enzymes within glycometabolism pathways. By constructing glycometabolic pathway models and analyzing them in conjunction with experimental data, we help clients reveal the structure and function of glycometabolic pathways and the mechanisms of their regulation under different biological conditions.

Glycoinformatics- assisted feature selection and differential analysis

We assist our clients in identifying biomarkers related to specific biological processes and disease states through glycoinformatics. Initially, glycoinformatics tools are used for feature selection and differential analysis to identify glycometabolites that differ significantly between disease and control groups. Candidate biomarkers are then screened based on the results of the analysis of variance, which may be compounds that are significantly up-or down-regulated in the disease group. Biological analyses such as structure prediction, metabolic pathway analysis, and biological function annotation are performed on the candidate biomarkers, followed by validation experiments.

Publication

Applications

• Glycoinformatics-assisted glycometabolomics analysis is used in biomedical research. This allows an in-depth study of abnormalities in glycometabolism in disease states. This helps to discover potential biomarkers or targets.
• It can be used to study the effects of drugs on glycometabolism and can help assess the effectiveness and side effects of drugs and guide the drug development process.
• It can be used to study glycometabolism and metabolic pathways in food, thereby understanding the effects of different foods on human glycometabolism and providing a scientific basis for developing healthier dietary recommendations.

Advantages

• Comprehensive data interpretation: We provide not only data collection and analysis but also data interpretation and interpretation of biological significance. This helps clients to better understand the glycometabolism  characteristics of their research subjects and to apply the results to relevant research areas.
• Efficient data processing: We provide efficient data processing and analysis, thus saving time and effort.
• Cross-disciplinary collaboration: Our team consists of interdisciplinary experts, including experts in glycochemistry, glycoinformatics, metabolomics, and other fields, who work together to provide comprehensive services to clients.

Frequently Asked Questions

• What is glycoinformatics-based glycometabolomics analysis?
  • This analysis combines glycoinformatics and glycometabolomics techniques and is designed to study the process of glycometabolomics in organisms. By analyzing data on the structure and metabolites of glycans, it is possible to reveal glycometabolic networks and their changes in physiological and pathological states.
• What types of data will I get?
  • We provide quantitative and qualitative data on glycan structure, metabolites, and their correlates. These data help to reveal the characteristics and changes in glycometabolism in organisms.

At CD BioGlyco, our dedication goes beyond simply offering outstanding glycoinformatics-assisted glycometabolomics analysis service. We are also committed to ongoing innovation through active partnerships with academic institutions and industry collaborators globally. If you are interested in our service, please feel free to contact us.

• Glycoinformatics-assisted N-Glycan Analysis Service
• Glycoinformatics-assisted O-Glycan Analysis Service
• Glycoinformatics-assisted N-Glycosylation Site Analysis Service
• Glycoinformatics-assisted O-Glycosylation Site Analysis Service
• Glycoinformatics-assisted Glycome Comparison Analysis Service
• Glycoinformatics-assisted Single-cell Glycomics Analysis Service
• Glycoinformatics-assisted Immune System Glycomics Analysis Service
• Glycoinformatics-assisted Model Glycomics Analysis Service
• Glycoinformatics-assisted Disease Glycomics Analysis Service
• Glycoinformatics-assisted Glycoproteomics Analysis Service
• Glycoinformatics-assisted Glycogenomics Analysis Service
• Glycoinformatics-assisted Glycolipidomics Analysis Service
• Glycoinformatics-assisted Glycan-related Epigenomics Analysis Service
• Glycoinformatics-assisted Glycan-related Transcriptomics Analysis Service
• Glycoinformatics-assisted Glycan-related Metagenomics Analysis Service